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Analysing the forward premium anomaly using a Logistic Smooth Transition Regression model

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  • Sofiane Amri

    (CEDERS)

Abstract

Several researchers have suggested that exchange rates may be characterized by nonlinear behaviour. This paper examines these nonlinearities and asymetries and estimates a Logistic Transition Regression (LSTR) of Fama Regression with the Risk Adjusted Forward Premia as transition variable. Results confirm the existence of nonlinear dynamics in the relationship between spot exchange rate differential and the forward premium for all the currencies of the sample and for all maturities (three and six-month maturities). Results confirm the insight into the presence of speculation barriers and transaction costs in the foreign exchange rate market that would explain, at least partially, the forward premium anomaly.

Suggested Citation

  • Sofiane Amri, 2008. "Analysing the forward premium anomaly using a Logistic Smooth Transition Regression model," Economics Bulletin, AccessEcon, vol. 6(26), pages 1-18.
    • Handle: RePEc:ebl:ecbull:eb-08f30042
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    Cited by:

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    2. Li, Dandan & Ghoshray, Atanu & Morley, Bruce, 2013. "An empirical study of nonlinear adjustment in the UIP model using a smooth transition regression model," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 109-120.
    3. Christina Anderl & Guglielmo Maria Caporale, 2021. "Testing for UIP: Nonlinearities, Monetary Announcements and Interest Rate Expectations," CESifo Working Paper Series 9027, CESifo.
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    5. Phungo, Muka & Bonga-Bonga, Lumengo, 2019. "An analysis of the unbiased forward rate hypothesis in developed and emerging economies," MPRA Paper 92222, University Library of Munich, Germany.

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    More about this item

    Keywords

    smooth transition;

    JEL classification:

    • F3 - International Economics - - International Finance
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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